Intratumor graph neural network recovers hidden prognostic value of multi-biomarker spatial heterogeneity
Cancer prognosis using multiregion sampling is costly and not completely reliable due to the required biomarker homogenisation step. Here, the authors develop an intratumor graph neural network for prognosis in multiregion cancer samples based on in situ biomarkers and gene expression that does not...
| Main Authors: | , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2022-07-01
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| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-022-31771-w |